System And Method For Calculating And Displaying Volume To Identify Buying And Selling In An Electronic Trading Environment

ABSTRACT

A system and method are provided for calculating and displaying volume to identify aggressive buying or selling activity. In a preferred embodiment, market information such as the inside market, last traded price, and last traded quantity is received from the electronic exchange and is used to assist a trader in determining the initiative side of a trade, either bid side or ask side. Once a determination is made, the result may be used to assist a trader analyzing the market volume. Other features and advantages are described herein.

CROSS-REFERENCE TO RELATED APPLICATIONS

The present application is a continuation of U.S. patent applicationSer. No. 12/490,049, filed Jun. 23, 2009 in the name of Tanpoco et al.,entitled “System and Method for Calculating and Displaying Volume toIdentify Buying and Selling in an Electronic Trading Environment,” whichis a continuation of U.S. patent application Ser. No. 11/370,693, nowissued as U.S. Pat. No. 7,565,318, filed Mar. 8, 2006 in the name ofTanpoco et al., entitled “System and Method for Calculating andDisplaying Volume to Identify Buying and Selling in an ElectronicTrading Environment,” which claimed priority to U.S. Provisional PatentApplication Ser. No. 60/694,777, filed Jun. 28, 2005, entitled“Analyzing Volume to Identify Accumulation and Distribution.”

FIELD OF INVENTION

The present invention is directed towards electronic trading. Morespecifically, the present invention is directed towards a method forcalculating and displaying traded volume information in an electronictrading environment.

BACKGROUND

An exchange is a central marketplace with established rules andregulations where buyers and sellers, referred to as traders, meet totrade. Some exchanges, referred to as open outcry exchanges, operateusing a trading floor where buyers and sellers physically meet on thefloor to trade. Other exchanges, referred to as electronic exchanges,operate by an electronic or telecommunications network. An electronicexchange typically provides computerized matching between traders. Someexample electronic exchanges include European Exchange (“Eurex”), LondonInternational Financial Futures and Options Exchange (“LIFFE”), ChicagoMercantile Exchange (“CME”), and Chicago Board of Trade (“CBOT”).

With respect to electronic exchanges, traders connect to an electronictrading platform by way of a communication link through their userterminals. Once connected, traders typically choose which tradeableobjects they wish to trade. As used herein, the term “tradeable object”refers to anything that can be traded with a quantity and/or price. Itincludes, but is not limited to, all types of traded events, goodsand/or financial products, which can include, for example, stocks,options, bonds, futures, currency, and warrants, as well as funds,derivatives and collections of the foregoing, and all types ofcommodities, such as grains, energy, and metals. The tradeable objectmay be “real,” such as products that are listed by an exchange fortrading, or “synthetic,” such as a combination of real products that iscreated by the user. A tradeable object could actually be a combinationof other tradeable objects, such as a class of tradeable objects.

User terminals (also referred to as client devices) are connected to theelectronic trading platform by way of a communication link to facilitateelectronic messaging between the trading entities and the exchange. Themessaging includes market information that is distributed from theelectronic exchange to traders, as well as orders, quotes,acknowledgements, fills, cancels, deletes, cancel and replace, and otherwell-known financial transaction messages. Although the amount or typeof market information published by the exchange often differs, there aresome standard pieces of information. Market information may include datathat represents just the inside market which refers to the lowest sellprice (best ask) and the highest buy price (best bid) at a particularpoint in time. Market information may also include market depth, whichrefers to quantities available at the inside market and can also referto quantities available at other prices away from the inside market.

Once the client device receives the market information, it may bedisplayed on the trading screen. Upon viewing the market information,traders can take certain actions including the actions of sending buy orsell orders to the electronic exchange, adjusting existing orders,deleting orders, or otherwise managing orders. There are a variety ofdifferent order types that a trader can enter in the electronic market.Traders may also use software tools to chart and graphically display thereceived market information or information calculated using the marketinformation.

Over the years, a number of these software tools, in the form ofanalysis systems and graphical charting displays, have been created toassist traders in analyzing and attempting to predict market behavior.By providing such information, traders are generally able to assimilateenormous amounts of data and make more informed decisions. The use ofsuch tools has also enhanced the level of intuition a trader may gainwhen trading in an electronic trading environment.

A conventional method of assimilating market information received froman exchange is, for example, to chart the information in a graphicaldisplay. Many different methods of charting market information are usedby traders, such as historical or real time market data charts, piecharts, bar charts, or traditional candlestick charts. Similarly, manydifferent types of market information can be charted, for example,volume, price vs. time, or last traded quantity. Traders often use thecharted market information to assist them in identifying market patternsand market trends.

A common method of analyzing the volume and market activity is bywatching time and sales prints as trades are posted. This method ofvolume analysis has traditionally been known as “tape reading.”Practitioners watch the trades occurring in real time, looking for cluesas to which side of the market (buy or sell) large trades are occurringon, observing the relative speed of the trades, the responsiveness ofthe other side as a large (or small) trade occurs, etc. The informationflow is internalized by the trader over time, and the knowledge helpsthe trader decide how and when to respond.

However, this decision making approach is extremely subjective, andrequires many hours of observation to understand and effectively applythe approach. Also, if a trader leaves his screen and does not viewmarket activity for some time, their relative baseline framework will belost, and upon their return it will take the trader more time to getback up to speed.

Another traditional method of analyzing volume information, which may beconsidered an improvement by some to the “tape reading” method, is tocreate a running total volume of the difference between the buyingvolume and the selling volume commonly referred to as On Balance Volume(“OBV”). The OBV method adds or subtracts each traded volume to or fromthe running total volume based on relative price movement between thecurrent trade and the last trade. For example, if the current tradedprice is higher than the last traded price, then the volume associatedwith the current trade is added to the running total volume. If thecurrent traded price is lower than the last traded price, then thevolume associated with the current trade is subtracted from the runningtotal volume. The OBV running total volume is then charted orgraphically displayed on a trading chart alongside market prices, whichcan be similar or different than the charted market prices.

While the previously described methods used for analyzing volume haveprovided traders with valuable information, it is desirable to offer animproved method for volume analysis that provides more accurateinformation regarding the trading activity of the tradeable object.

BRIEF DESCRIPTION OF DRAWINGS

Many aspects of the present embodiments may be better understood withreference to the following drawings. The components in the drawings arenot necessarily to scale, emphasis instead being placed uponillustrative example embodiments:

FIG. 1 is a block diagram illustrating a trading system for electronictrading according to an example embodiment, where the trading systemincludes a trading station where a trader can submit bids and asks for atradeable object being traded at an electronic exchange;

FIG. 2 is a block diagram illustrating a trading system for electronictrading that builds on the trading system shown in FIG. 1 and includes atrading station where a trader can submit bids and asks for a tradeableobject being traded at more than one electronic exchange;

FIG. 3 is a block diagram illustrating various components of an exampletrading station that a trader can use to submit trades for a tradeableobject being traded at one or more electronic exchanges and to displaytrading information in a chart;

FIG. 4 is a flow chart illustrating a method for calculating CumulativeVolume Delta according to an example embodiment;

FIG. 5 is a table illustrating market information used to calculateCumulative Volume Delta, according to the example embodiment of FIG. 4,and traditional On Balance Volume;

FIG. 6 is a graphically displayed chart illustrating the differencesbetween Cumulative Volume Delta and the traditional On Balance Volume;

FIG. 7 is a flow chart illustrating a method for calculating CumulativeVolume Delta according to another embodiment; and

FIG. 8 is a table illustrating the market information used to calculateCumulate Volume Delta across a sector index, according to the exampleembodiment of FIG. 7.

DETAILED DESCRIPTION I. Overview

The example embodiments described herein provide a quantifiable approachto analyzing traded volume. The example embodiments introduce a methodof calculating and displaying traded volume, to determine theaggressiveness towards either the bid or ask side of the market moreintelligently than the traditional methods. This method of calculatingtraded volume is referred to hereinafter as Cumulative Volume Delta(“CVD”). The CVD traded volume analysis involves adding or subtractingthe volume associated with each trade from a running total volume. Thedecision to add or subtract the volume from the running total volume isbased on what side of the market each trade was initiated on. If thecurrent trade was initiated on the ask side of the market, whichindicates buying activity, then the volume associated to the trade isadded to the running total volume. Likewise, if the current trade wasinitiated on the bid side of the market, which indicates sellingactivity, the volume associated with the trade is subtracted from therunning total volume.

According to the example embodiments, the raw market informationreceived from the electronic exchange is used to determine which side ofthe market the trade was initiated on using an algorithm. However, itshould be understood that some exchanges may provide this information,in which case, a determination is not made. Regardless of what rawmarket information is provided from the exchange, the CVD method may beapplied. Additionally, tracking which side of the market the trade isinitiated on provides some of the elements used to chart the levels ofbuying activity versus selling activity in the market.

The example embodiments also introduce the CVD indicator which displaysthe running total volume calculated using the market informationprovided from the electronic exchange. The CVD method helps a trader todetermine whether volume was initiated on the bid or ask side, insteadof only highlighting if the market is going up or down, as many commontrading charts display. An additional advantage of the CVD method isthat it is it determines the initiate state for all trades, whereas theOBV method only compares the trades that alter the last traded price.The CVD indicator provides important information to a trader, such as ifthe market has aggressive buying pressure or aggressive selling pressurein a novel and more accurate way than using the traditional methods.

While the present invention is described herein with reference toillustrative embodiments, it should be understood that the presentinvention is not limited thereto. Other systems, methods, and advantagesof the present embodiments will be or become apparent to one with skillin the art upon examination of the following drawings and description.It is intended that all such additional systems, methods, features, andadvantages be within the scope of the present invention, and beprotected by the accompanying claims.

II. A First Example Trading System

FIG. 1 illustrates an example electronic trading system in which theexample embodiments described herein may be employed. In this example,the system comprises a trading station 102 that accesses an electronicexchange 104 through a gateway 106. Router 108 is used to route messagesbetween the gateway 106 and the electronic exchange 104. The electronicexchange 104 includes a computer process (e.g., the central computer)that matches buy and sell orders sent from the trading station 102 withorders from other trading stations (not shown). The electronic exchange104 may list one or more tradeable objects for trade. While not shown inthe figure for the sake of clarity, the trading system may include otherdevices that are specific to the client site like middleware andsecurity measures such as firewall, hubs, security managers, and so on,as understood by a person skilled in the art.

The computer employed as the trading station 102 generally can rangefrom a hand-held device, laptop, or personal computer to a largercomputer such as a workstation and multiprocessor. Generally, thetrading station 102 includes a monitor (or any other output device) andan input device, such as a keyboard and/or a two or three-button mouseto support click based trading, if so desired. One skilled in the art ofcomputer systems will understand that the present example embodimentsare not limited to any particular class or model of computer employedfor the trading station 102 and will be able to select an appropriatesystem.

The computer employed as the gateway 106 generally can range from apersonal computer to a larger computer. Generally, the gateway 106 mayadditionally include a monitor (or any other output device), inputdevice (for example, a keyboard, mouse, etc.), and access to a database,if so desired. One skilled in the art of computer systems will alsounderstand that the present example embodiments are not limited to anyparticular class or model of computer(s) employed for the gateway 106and will be able to select an appropriate system.

It should be noted that a computer system that may be employed here as atrading station or a gateway generally includes a central processingunit, a memory unit (a primary and/or secondary memory unit), an inputinterface for receiving data from a communications network, an inputinterface for receiving input signals from one or more input devices(for example, a keyboard, mouse, etc.), and an output interface forcommunications with an output device (for example, a monitor). A systembus or an equivalent system may provide communications between thesevarious elements.

It should also be noted that the trading station 102 generally executesapplication programs resident at the trading station 102 under thecontrol of the operating system of the trading station 102. For example,the CVD method may be carried out at the trading station 102 based onmarket information received from the electronic exchange 104. Also, thegateway 106 executes application programs resident at the gateway 106under the control of the operating system of the gateway 106. In otherembodiments and as understood by a person skilled in the art, thefunction of the application programs at the trading station 102 may beperformed by the gateway 106, and likewise, the function of theapplication programs at the gateway 106 may be performed by the tradingstation 102.

The actual electronic trading system configurations are numerous, and aperson skilled in the art of electronic trading systems would be able toconstruct a suitable network configuration. For the purposes ofillustration, some example configurations are provided to illustratewhere the elements may be physically located and how they might beconnected to form an electronic trading system; these illustrations aremeant to be helpful to the reader and they are not meant to be limiting.According to one example illustration, the gateway device may be locatedat the client site along with the trading station, which is usuallyremote from the matching process at the electronic exchange. Accordingto this instance, the trading station, the gateway, and the router maycommunicate over a local area network, and the router may communicatewith the matching process at the electronic exchange over a T1, T3,ISDN, or some other high speed connection.

In another example illustration (not shown in the Figures), the clientsite may be located on the actual grounds of the electronic exchange(for example, in the building of the exchange). According to thisexample illustration, the trading station 102, the gateway 106, and therouter 108 may still communicate over a local area network, but therouter 108 may communicate with the matching process at the electronicexchange through another connection means besides a T1, T3, or ISDN.

In yet another example illustration (not shown in the Figures), thegateway 106 may be housed at, or near, its corresponding electronicexchange 104. According to this instance, the trading station 102 maycommunicate with the gateway 106 over a wide area network or through theuse of a T1, T3, ISDN, or some other high speed connection.

In another example illustration (not shown in the Figures), the gateway106 may be located remote from the trading station 102 and remote fromthe electronic exchange 104, which might be particularly useful insystems that include interconnection of multiple trading networks. Thus,one trading network might have gateway access to an electronic exchange.Then, other trading networks may communicate with the trading networkthat has gateway access through a T1, T3, ISDN, or some other high speedconnection.

III. A Second Example Trading System

FIG. 2 illustrates another example trading system that uses similarcomputer elements as shown in FIG. 1, in which, the example embodimentsdescribed herein may be employed to trade at multiple electronicexchanges as well as to calculate CVD. The system comprises a tradingstation 202 that can access multiple electronic exchanges 204 and 208.In this particular embodiment, electronic exchange 204 is accessedthrough gateway 206 and electronic exchange 208 is accessed throughanother gateway 210. Alternatively, a single gateway may be programmedto handle more than one electronic exchange. Router 212 is used to routemessages between the gateways 206 and 210 and the electronic exchanges204 and 208. While not shown in the figure, the system may include otherdevices that are specific to the client site like middleware andsecurity measures like firewalls, hubs, security managers, and so on, asunderstood by a person skilled in the art. Additional electronicexchanges may be added to the system so that the trader can trade at anynumber of exchanges, if so desired.

The trading system presented in FIG. 2 provides the trader with theopportunity to trade tradeable objects listed at different electronicexchanges. To some traders, there can be many advantages with amulti-exchange trading environment. For example, a trader could viewmarket information from each tradeable object through one common visualdisplay. As such, price and quantity information from the two separateexchanges may be presented together so that the trader can view bothmarkets simultaneously in the same window. Similarly, the trader mayalso view the charted CVD indicator or the calculated CVD value for eachof the electronic exchanges using the CVD method described herein.

As indicated earlier, one skilled in the art of electronic tradingsystems will understand that the present embodiments are not limited tothe particular configurations illustrated and described with respect toFIG. 1 and FIG. 2, and will be able to design a particular electronictrading system based on the specific requirements (for example, byadding additional exchanges, gateways, trading stations, routers, orother computers serving various functions like message handling andsecurity). Additionally, several networks, like either of the networksshown in FIG. 1 or FIG. 2, may be linked together to communicativelyaccess one or more electronic exchanges.

IV. An Example Trading System and Function

FIG. 3 illustrates an overview of a trading station 300 which is similarto the type of trading stations 102 and 202 shown in FIGS. 1 and 2.Trading station 300 can be any particular type of computing device,examples of which were enumerated above. According to one exampleembodiment, trading station 300 has a trading application 302 stored inmemory that when executed arranges and displays market information, suchas a chart containing a CVD indicator, on a trading screen that will bedescribed in greater detail below.

Preferably, trading application 302 has access to market informationfrom one or more exchanges 310 through API 304 (or applicationprogramming interface), and trading application 302 can also forwardtransaction information to exchange 310 via API 304. Alternatively, API304 could be distributed so that a portion of the API rests on thetrading station 300 and a gateway similar to the type of gateways 106,206, and 210 shown in FIG. 1 and FIG. 2, or at the exchange 310.Additionally, trading application 302 may receive signals from inputdevice 312 via input device interface 306 and can be given the abilityto send signals to display device 314 via display device interface 308.

Alternatively, the example embodiments described herein may be aseparate program from trading application 302, but still stored inmemory and executed on the trading station 300. In another alternativeembodiment, the preferred embodiments may be a program stored in memoryand executed on a device other than trading station 300. Example devicesmay include a gateway or some other well known intermediary device.

The trading station 300 may use software that creates trading screens orcharts, on the trading station 300. The trading screen enables the userto enter and execute orders, obtain market quotes, and monitorpositions. The trading charts allow traders to analyze marketinformation in a visual display, such as a CVD indicator. The range andquality of features available to the trader on his or her tradingscreens vary according to the specific software application being run.

V. Cumulative Volume Delta

As trades occur in the market, it is useful for a trader to know howmuch volume is being traded as well as how much volume is associated toeach side of the market: bid side or ask side. According to the CVDmethod, the initiative nature of each trade, whether the trade occurredon the bid or ask, is used to determine if the quantity associated withthat trade should be added to or subtracted from the running totalvolume. The traditional OBV only compares the relative price movementbetween the last traded price and the previous last traded price todetermine if the volume should be added to or subtracted from therunning total volume. Differences between the CVD method and thetraditional OBV method will be shown and described in further detail inreference to FIGS. 5 and 6.

FIG. 4 is a flow chart illustrating an example embodiment forcalculating CVD. It should be understood that the flow chart in FIG. 4only provides an illustrative description for calculating and displayinga CVD indicator. In this regard, each block may represent a module,segment, or portion of code, which includes one or more executableinstructions for implementing specific logical functions or steps in theprocess. Further, it should be understood that the steps of the methodillustrated in FIG. 4 may be performed by one or more network entities,such as a client device, gateway, and/or exchange, or a combinationthereof, using the teachings described herein.

At step 402, the trading application, such as one described in referenceto FIG. 1, 2, or 3, receives market information from the electronicexchange, also shown in FIG. 1, 2, or 3. As previously described, themarket information may include the inside market, last traded price andlast traded quantity.

At step 404, the trading application uses the market informationreceived from the electronic exchange to determine whether the trade wasinitiated on the bid or ask side. This determination is accomplished bycomparing the last traded price to the best bid and best ask prices ofthe inside market. If the last traded price is equal to the best bidprice, then the last trade is considered to be on the bid side and isassociated with selling pressure in the market. If the last traded priceis equal to the best ask price, then the last trade is considered to beon the ask side and is associated with buying pressure in the market. Ifthe last traded price is outside of the inside market, then the CVDmethod may handle the trade in a variety of ways. For example, the CVDmethod may choose to not calculate or chart a CVD value for that trade.Another way to handle a trade that is outside of the inside market, maybe to compare the last traded price to the inside market and if the lasttraded price is below the best bid, consider it to be on the bid side,and if the last traded price is higher than the best ask, consider it tobe on the ask side. Similarly, if a gap exists between the inside marketprices, the CVD method may choose to not calculate or chart a CVD valuefor the last trade, or it could check which inside market price, bid orask, most recently populated the price level or the last trade.

At step 406, if the trading application has determined that the lasttrade was initiated on the bid side of the market, then the quantityassociated to the last trade is subtracted from the running totalvolume. The trading application then moves to step 410.

At step 408, if the trading application has determined that the lasttrade was initiated on the ask side of the market, then the quantityassociated with the last trade is added to the running total volume. Thetrading application then moves to step 410.

When CVD is tracked for the first time, the running total volume valuemay start at “0” and build from there as volume is traded for thatspecific tradeable object. As CVD is tracked starting at the beginningof a trading day (or at some other time period), the volume value maystart from where the volume ended the previous day (or the previoustime), thus creating a continuous historical CVD chart. The volume valuemay also be user-configured, and in which case, the calculations wouldstart from the user-defined value.

At step 410, if charting is enabled, the trading application hascompleted the CVD method calculations and will chart the calculated CVDindicator. It should be understood that the CVD indicator does not haveto be charted and that step 410 is configurable by the trader. Forexample, the CVD indicator may be used in a spread sheet, as a value onthe screen, as any other type of indicator, or used in a tradingstrategy.

To illustrate some differences between CVD and OBV, FIG. 5 provides atable illustrating example market information used to calculate CVD andOBV. The calculations shown in table 500 are based on the analysis ofsix consecutive trades for the same tradeable object. Table 500 includesa Trade # column 502, BidQty column 504, a BidPrc column 506, an AskPrccolumn 508, an AskQty column 510, a TradePrc column 512, a TradeQtycolumn 514, an OBV column 516, and a CVD column 518. The information incolumns 504-514 would normally be provided by the electronic exchange.The Trade # column 502 displays the number corresponding to the order ofeach trade, the BidQty column 504 displays the quantity of the best bid,the BidPrc column 506 displays the price level of the best bid, theAskPrc column 508 displays the price level of the best ask, the AskQtycolumn 510 displays the quantity of the best ask, the TradePrc column512 displays the price at which a trade is submitted at, the TradeQtycolumn 514 displays the quantity of the submitted trade, the OBV column516 displays the calculated total volume value using the OBV method, andthe CVD column 518 displays the calculated total volume value using theCVD method.

Referring to FIG. 4 using the information provided in table 500 shown inFIG. 5, trading application, as described in reference to FIG. 1, 2, or3, starts with Trade 0 (Trade # column 502) having already occurred at aprice level of “54” (TradePrc 512), and has a quantity of “17” (TradeQtycolumn 514) in the market. At the time of Trade 0, the best bid was at aprice level of “54” (BidPrc column 506) and best ask price of“55”(AskPrc column 508). Also associated with Trade 0, is a runningtotal volume value of “500” being used as the starting volume for eachmethod as shown in, OBV column 516 and CVD column 518. The marketinformation corresponding to Trade 0 is provided for the purposes ofcalculating OBV.

Per step 402 shown in FIG. 4, market information corresponding to Trade1 is received from the electronic exchange. At that time, the best bidis at a price level of “54” (BidPrc column 506), and has a quantity of“90” (BidQty column 504). Similarly, the best ask is at a price of “55”(AskPrc column 508), and has a quantity of “100” (AskQty column 510).

Per step 404 shown in FIG. 4, Trade 1 is determined to be a trade on thebid side because the BidPrc 506 of “54” is equal to the TradePrc 512 of“54”, shown in the second row of table 400. In other words, the tradeprice of Trade 1 is compared to the inside market. Since the trade priceof Trade 1 is equal to the bid price of the inside market, the quantityassociated with Trade 1 is subtracted from CVD column 518. Referring tochart 500, Trade 1 is submitted at the price level of “54” (TradePrc512), and has a quantity of “10” (TradeQty 514). At the time of Trade 1,the inside market has a bid at “54” (BidPrc 504) and an ask at “55”(AskPrc 506).

Based on the CVD method, Trade 1 (Trade # column 502) was determined tobe made on the bid side of the market because the BidPrc 506 of “54” isequal to the TradePrc 512 of “54”. Per step 408 in FIG. 4, the quantityassociated with the Trade 1 is subtracted from the CVD running total inthe CVD column 518. According to the CVD method, the total volume wouldbe calculated as follows:

CVD 518−TradeQty 514=total volume

Trade 1: 500−10=490

Based on the OBV method of calculating volume, the trade price of Trade1 is compared to the last traded price of Trade 0, which is “54”. OBVdoes not recognize a price change between the last traded price and thecurrent trade price. Because there is not a price change between thelast traded price and the current trade price, the OBV does not make acalculation and the running total volume remains the same.

Market information is again received from the electronic exchange,including the information corresponding to Trade 2 (Trade # column 512)per step 402. At the time, the best bid is at a price level of “53”(BidPrc column 506), and has a quantity of “70” (BidQty column 504).Similarly, the best ask is at a price level of “54” (BidPrc column 506),and has a quantity of “100” (BidQty column 504).

At step 404, the trading application determines whether or not to add orsubtract the last traded quantity from running total volume and becausethe last traded price of Trade 2 is equal to the best bid price, BidPrc506, the trade is on the bid side and is subtracted. The followingcalculations are made using the CVD method.

CVD 518−TradeQty 514=total volume

Trade 2: 490−20=470(at Step 408)

Based on the OBV method of calculating volume, the trade price of Trade2 is compared to the last traded price of Trade 1, which is “54”. OBVrecognizes a price difference between the last traded price and theprevious last traded price and then subtracts the quantity associatedwith Trade 2. OBV however, still does not take into account the side ofthe market Trade 2 was made on, but only the relative difference betweenprices.

OBV 516−TradeQty 514=total volume

Trade 2: 500−20=480

Chart 500 now displays the market information for the next four trades(Trades 3, 4, 5, and 6) which are submitted to the market at the sameprice level of “53”, all on the ask side of the market. As shown in FIG.5, CVD adds all of the quantity to the CVD 518 running total volumebecause, although all the trades are submitted at the same price level,they all occurred on the ask side of the market, specifically at thebest ask price. OBV does not recognize a change in prices and thereforeremains the same over the next four trades.

Referring back to specific examples shown in FIG. 5, market informationcorresponding to Trade 3, Trade # column 502, is now received from theelectronic exchange. At the time, the best bid is at a price level of“52” (BidPrc column 506), and has a quantity of “70” (BidQty column504). Similarly, the best ask is at a price level of “53” (AskPrc column508), and has a quantity of “88” (AskQty column 510).

Per step 404, Trade 3 is submitted at the price level of “53” (TradePrc512), and has a quantity of “12” (TradeQty 514). Trade 3 is determinedto be a trade on the ask side because it is equal to the best ask price“53” (AskPrc column 508) and the associated quantity is then added tothe CVD running total CVD 518.

Based on the CVD method, because Trade 3 was made on the ask side, CVDis calculated using the quantity associated to Trade 3 as follows:

CVD 518+TradeQty 514=total volume

Trade 3: 470+12=482(step 406)

The following trades, Trades 4-6, Trade #502, are calculated using theCVD method as follows:

CVD 518+TradeQty 514=total volume

Trade 4: 482+15=497(step 406)

Trade 5: 497+20=517(step 406)

Trade 6: 517+13=530(step 406)

Adding the quantities associated to the last four trades to the CVDrunning total causes the CVD running total volume in the CVD column 518to increase. CVD data will provide an illustrated view, displaying thatalthough the price at which trades were initiated and matched did notchange, a buying activity occurred in the market. The last 4 trades weresubmitted at the same price level, so the market movement was horizontalinstead of upward or downward. It is also during the times of horizontalmarket movement that traders need a tool to help identify buyingactivity (trades placed on the ask side of the market) or sellingactivity (trades placed on the bid side of the market) during thehorizontal market movement.

The result of the OBV method can be misleading and counterintuitive to atrader if used as a tool for volume analysis. For example, during thelast four trades, the trader would see horizontal movement and not anyupward or downward movement in the OBV chart because the trades were allinitiated at the same price as the last traded price. However, the CVDchart will clearly illustrate that traders are aggressively submittingask trades to the market. CVD provides the trader with a more accuraterepresentation of the true buying and selling activity taking place inthe market. OBV does not recognize a price change between the lasttraded price and the current trade price. OBV simply providesinformation about the running total volumes and does not take intoaccount the side that a trade is initiated on and therefore remains thesame when there is not a difference in the inside market prices and thecurrent trade price.

VII. Charting CVD

In addition to using the CVD method to calculate a CVD value, CVD may becharted for a trader to visually analyze. A CVD indicator can be chartedover any period of time depending on a trader's desires. It should beunderstood that the method of displaying and charting the CVD indicatoris configurable by the trader and is not limited to the exampleembodiments described herein.

A trader can chart the CVD indicator on any of the traditional chartssuch as, historical, real-time, candlestick. A CVD indicator can also becharted as a derivative of the CVD value such as, absolute value,average, slope, etc. A trader can also analyze the charted CVD indicatorusing the same traditional methods of analyzing other charts orgraphical displays. One method to analyze a chart is to look forconfirmation and divergence between price and the CVD indicator.Confirmation is defined as the occurrence of two or more indicators(e.g. market price and CVD) corresponding with one another and therebycorroborating the predicted trend. For example, if the market is movinghigher with true buying pressure, then higher prices should be confirmedwith higher CVD values. Conversely, a market with prices moving lowershould be confirmed with lower CVD values. A divergence is defined as asituation in which the price of a tradeable object and an indicator,move in opposite directions. For example, if market prices are movinghigher while CVD is moving horizontally or lower, then CVD is signalingto the trader that more selling than buying is occurring in the marketduring the price rise. A divergence of lower prices with a horizontal tohigher moving CVD line shows a trader that more buying pressure thanselling pressure is taking place in the market as the prices move lower.

FIG. 6 is a graphically displayed chart illustrating differences betweenCVD and OBV. FIG. 6 is displaying a 1-minute bar chart for CBOT's TenYear Note September Futures (ZN), with CVD and OBV plotted below. Chart600 displays price chart 606, CVD chart 608, and the OBV chart 610.

Price chart 606 displays the historical trading chart for the giventradeable object. As trades are initiated by a trader, trades aredisplayed on price chart 606. Price chart 606 is similar to charts thattraders use to analyze the movement of the market throughout a giventime period. CVD chart 608 displays the historical CVD indicator inrelation to the price chart 606 and the OBV chart 610. CVD is calculatedusing the method previously described in detail and the CVD indicator isthen charted on the CVD chart 608 in FIG. 6. Likewise, OBV chart 610displays the historical OBV volume in relation price chart 606 and theCVD chart 608. OBV is also calculated and then charted on the OBV chart610.

Axis 602 includes the price range associated with price chart 606, andthe volume ranges associated with the CVD chart 608 and OBV chart 610.As shown in FIG. 6, for the tradeable object, the price range associatedwith price chart 606 is between “112180” and “112280”, and the volumerange for CVD and OBV is between “10,000” and “−10,000”. The volumerange for CVD and OBV is based on what value is configured to be thestart value; in this example the start value is “0”. As previouslydescribed, the start value can be anything and is user configurable.Each trade is initiated at a specific time which can be shown on timeaxis 604. As shown on time axis 604 in chart 600, trades have beeninitiated just before 7:00 and about 13:30. The trader may choose todisplay all the trades that occurred since the start of day, or maychoose to display a different time period, for example, 5 minutes, 1day, or 30 days.

Price chart 606 also includes key points A, B, C, D, E and F. Thesepoints are displayed for purposes of description and will be furtherexplained below. CVD chart 608 also includes key points at 612 and 616,and the OBV chart 610 includes key points at 614 and 618. It should beunderstood that the components of chart 600 may be altered as well asthe position of each component, and what could be displayed should notbe limited to what is shown in FIG. 6. For example, chart 600 maydisplay a price chart 606 and a CVD chart 608, or for example, only CVDchart 608.

Referring now to the price chart 606 shown in FIG. 6, the market moveddown from Point A on price chart 606. The downward market movement fromprice level “112280” on axis 602, at around time 7:20 AM on time axis604, down to price level “112210” on axis 602, at around time 7:40 AM ontime axis 604, was confirmed by lower volume values in both the CVD andOBV indicators. These lower values can be seen at 612 on CVD 608 and at614 on OBV 610. Not only is the CVD indicator moving down, whichindicates selling pressure, a trader will also understand that thismeans there is less volume being traded, and there were more traderstrading at Point A than there were after the market moved down.

After the market stabilized around price level “112220” on axis 602, ataround time 8:00 AM on time axis 604, the market moved back up to PointB on price chart 606. While the market prices on chart 606 moved up, theCVD indicator will show that the initial volume of traders trading inthe market at point A was still higher than at point B, even though theprices reflect strong buying taking place. Both the CVD 608 and OBV 610indicators represented the volume distinctly differently on theircharts.

According to the CVD chart 608, the market had increased sellingpressure at 612. In fact, at the peak Point B on price chart 606, CVDchart 608 had clearly displayed volume loss from more selling activitythan buying activity while price was advancing on price chart 606. CVDmore accurately confirmed the true pressures in the market. Although theprice surged before Point B on price chart 606, CVD chart 608 showeddownward movement, which illustrates that more traders were actuallyselling than buying at 612. A trader using the CVD chart 608, would seethat the CVD indicator continues to move downward after 612, and wouldtherefore look to the price chart 606 to confirm that the market priceswould continue to fall again after the peak at Point B. CVD accuratelyassessed the selling pressure at 612, which is later confirmed in pricechart 606 as the price falls after Point B.

The OBV chart 610 showed misleading buying pressure and volume oftraders trading in the market at 614. A trader using the OBV chart 610,would be misled to buying into the market due to the divergence of themarket prices in price chart 606 and the OBV chart 610. OBV chart 610provided inaccurate information as to the true buying/selling pressureof the market at 614. From analyzing the OBV chart 610, a trader wouldalso inaccurately believe that there were more traders participating inbuying the market, which CVD proves is not the case at 612 with adecrease in the CVD indicator.

From Point B to Point C, the market falls the approximate price level of“112205” on axis 602, at around time 9:40 AM on time axis 604. Thebuying/selling activity from Point B down to Point C also produced alower CVD indicator on CVD chart 608. The downward movement in themarket confirms the CVD indicator in the CVD chart 608. The CVD chart608 also implies that the market will continue falling due to heightenedselling pressure, before rising up again.

From Point C to Point D on price chart 606, the market makes a shortreversal in market movement from where the preceding market trend wasgoing and price again falls lower to Point D. But as the price falls onprice chart 606, the CVD chart 608 diverges and indicates increasedbuying pressure.

CVD chart 608 accurately displays the increased volume of traders in themarket from point C to point D. CVD chart 608 was also warning andalerting traders that although the market prices were moving down inprice chart 606, traders were buying and the market was about to moveup, illustrated at 616.

Again, OBV chart 610 misrepresents what trades are actually initiatingin the market. A trader analyzing the OBV chart 610 at 618, wouldrecognize the divergence and believe the market was not going to rise,but alternatively, would continue falling. As can be seen in price chart606, the market prices did move up and reacted as CVD chart 608illustrated it would.

As shown from Point D to Point E, the CVD indicator on CVD chart 608,prices subsequently moved higher from Point D to Point E on price chart606. Both CVD and OBV indicators moved higher along with the prices inprice chart 606, however they again differed when the market reachedPoint F and rendered two different versions of what was happening in themarket.

The CVD indicator is displayed horizontally to slightly upward,depicting a strengthening market and buying activity taking place. Atrader analyzing the CVD chart 608 is going to hold their marketposition because there is more buying than selling taking place. Asprice chart 606 will confirm, the prices promptly moved higher afterPoint F on price chart 606 and peaked around price level “112270” onaxis 602, at around time 1:00 on time axis 604.

OBV chart 610 is displayed horizontally to slightly downward, depictinga weakening market and selling activity taking place. Again, CVD and OBVdiffer and the result to the trader is a different view of what ishappening in the market. Unfortunately, the OBV chart 610 displays adivergence between the market prices and the OBV indicator and wouldhave led a trader astray many times, causing risk and possible lostprofits.

Another example embodiment may include applying the CVD method to asector, or a group of tradeable objects in the same industry or market.Applying the CVD method to an entire sector may provide information to atrader regarding the underlying aggressive actions (buying or selling)of a particular sector index. An increase or decrease in a CVD sectorindex indictor would indicate the total actions initiated by tradersacross all the tradeable objects that comprise the sector index.

FIG. 7 is a flow chart illustrating one example method 700 forcalculating CVD for sector index. It should be understood that the flowchart in FIG. 7 only provides an illustrative description forcalculating CVD indicator. In this regard, each block may represent amodule, segment, or portion of code, which includes one or moreexecutable instructions for implementing specific logical functions orsteps in the process. Further, it should be understood that the steps ofthe method 700 illustrated in FIG. 7 may be performed by one or morenetwork entities, such as a client device, gateway, and/or exchange, ora combination thereof, using the teachings described herein.

At step 702, the trading application, such as the one shown in FIG. 1, 2or 3, receives market information from the electronic exchange. Aspreviously described, the market information may include the insidemarket, last traded price and last traded quantity, as well as anexchange-provided point value for each tradable object.

At step 704 the trading application uses the market information receivedfrom the exchange to calculate the value of each tradeable objectincluded in the sector index and the total index tradeable object value.The value of each tradeable object correlates to how much the specifictradeable object is worth at any given moment. To calculate the value ofeach tradeable object, the trading application, multiplies the pointvalue for each tradeable object by the last traded price.

The point value associated with a tradeable object is a value providedby the electronic exchange. The point value is defined as the actualdollar value assigned to each price level or point. The pricingstructure for each tradeable object is different, and in order todiscuss the tradeable objects on the same level, a calculation is madeto reduce them into a common denominator. If a point value for atradeable object is defined to be “$10.00”, then each price level orpoint that the tradeable object moves up is a “$10.00” profit for thetrader. For example, if a trader submits a trade with a quantity of “1”at a price of “50” and the price moves up to the price level of “51”,then the trader has made a profit of “$10.00”.

Once each tradeable object value has been calculated the total indextradeable object value may be calculated. To calculate the total indextradeable object value, the calculated tradeable object values are addedtogether.

At step 706 the CVD weights are calculated for each tradeable object.Each tradeable object accounts for a different percentage of valueattributed to the sector; therefore each tradeable object is weighteddifferently. To determine the weight of each tradeable object, thetrading application divides the tradeable object value for eachtradeable object by the total index tradeable object value. The weightof each tradeable object can be represented as a percentage that defineshow much volume of the total sector index volume that specific tradeableobject accounts for.

At step 708, using the previously discussed CVD method, the CVD for eachtradeable object included in the sector index is calculated.

At step 710, using the calculated CVD for each tradeable object and thecalculated weights of each tradeable object, the trading applicationcalculates the total CVD for the sector index. The sum of each tradeableobject's CVD value multiplied by the weight of that tradeable objectwhich results in the total CVD value for the sector index.

FIG. 8 is a table illustrating the information that is used to calculateCVD across a sector index. Table 800, contains the tradeable objectscolumn 802 that displays an example set of tradeable objects in theE-Mini Equity Index, the current last traded price column 804 thatdefines the current last traded price for each of the tradeable objectsmaking up the E-Mini Equity Index, the point value column 806 definesthe point value assigned to each tradeable object by the exchange, thetradeable object value column 808 defines the calculated value for eachtradeable object, and the tradeable object weight column 810 defines thecalculated weight for each tradeable object.

As shown in table 800, the E-Mini Equity Index is made up of four equityindex tradeable objects, displayed in the tradeable object column 802.The tradeable objects included in the E-Mini Equity Index are the E-MiniS&P 500, E-Mini Nasdaq 100, E-Mini Russell 200, and the E-Mini Midcap400. The last traded prices 804 for the tradeable objects are “1272.00”,“1688.00”, “720.80”, and “767.20”, respectively. Likewise, the pointvalues 806 for the tradeable objects are “$50.00”, “$20.00”, “$100.00”,and “$100.00”, respectively. The calculated value 808 for the tradeableobjects are “$36,600”, $33,760”, “$77,800”, and “$76,720”, respectively.And the calculated weights 810 for the tradeable objects are “25.76%”,“13.76%”, “29.49%”, and “31.08%”, respectively.

Per step 702 shown in FIG. 7, the trading application receives marketinformation from the electronic exchange that includes, among otherthings, the last traded price and the point value for each of thetradeable objects displayed in table 800.

Per step 704 shown in FIG. 7, using the received last traded price 804and point value 806 for each tradeable object, the trading applicationcalculates the tradeable object value for each tradeable object. Theresulting tradeable object value 808 is displayed in table 800. Thefollowing calculation is made for each tradeable object 802 using theinformation found in table 800:

Tradeable Object Value=Last Traded Price*Point Value

Using the calculated tradeable object values, the total tradeable objectvalue can be calculated as follows:

Total Tradeable Object Value=$63,600+$33,760+$72,800+$76,720=$246,880

Per step 706 shown in FIG. 7, using the calculated tradeable objectvalues 808 for each tradeable object and the total tradeable objectvalue, the weight 810 for each tradeable object can be calculated asfollows:

Tradeable Object Weight=Tradeable Object Value/Total Tradeable ObjectValue

Per step 708 shown in FIG. 7, using the CVD method, previously discussedin detail, the CVD is calculated for each tradeable object, startingfrom the same value.

Per step 710 shown in FIG. 7, using the calculated weight 810 and theCVD for each tradeable object, the total CVD for the sector index can becalculated. The total CVD for the index can be calculated by multiplyingthe CVD of each tradeable object by the corresponding weight 810, andadding the results. The total CVD can be calculated is as follows:

CVD E-Mini Equity Index=(CVD of E-Mini S&P500*0.2576)+(CVD of E-MiniNasdaq 100*0.1376)+(CVD of E-Mini Russell 2000*0.2949)+(CVD of E-MiniMidCap 400*0.3108)

A trader may compare the calculated CVD for the sector index to apreviously calculated CVD for the same index or for another index. Bycomparing the CVD of an index from one time period to the CVD of thesame index from another time period, the trader may determine if othertraders are more aggressively buying or selling within that indexbetween the two time periods. Likewise, by comparing the CVD values oftwo or more separate indexes, a trader may determine if the indexes havemore buying activity or selling activity over each other.

CONCLUSION

The example embodiments described herein provide a method for analyzingthe raw market information received from an electronic exchange. CVDdetermines the initiate nature of each trade, and uses that informationto more accurately calculate and display the activity in the market.Using this information, traders can better assess what is happening inthe market, why it is happening in the market, and what may happen next.

The above description of the preferred embodiments, alternativeembodiments, and specific examples, are given by way of illustration andshould not be viewed as limiting. Further, many changes andmodifications within the scope of the present embodiments may be madewithout departing from the spirit thereof, and the present inventionincludes such changes and modifications.

It will be apparent to those of ordinary skill in the art that methodsinvolved in the system and method for calculating and displaying volumeto identify accumulation and distribution may be embodied in a computerprogram product that includes one or more computer readable media. Forexample, a computer readable medium can include a readable memorydevice, such as a hard drive device, a CD-ROM, a DVD-ROM, or a computerdiskette, having computer readable program code segments stored thereon.The computer readable medium can also include a communications ortransmission medium, such as, a bus or a communication link, eitheroptical, wired or wireless having program code segments carried thereonas digital or analog data signals.

The claims should not be read as limited to the described order orelements unless stated to that effect. Therefore, all embodiments thatcome within the scope and spirit of the following claims and equivalentsthereto are claimed as the invention.

1. A method for determining trading activity related a tradeable objectbeing traded at an electronic exchange, comprising: receiving marketinformation associated with the tradeable object, the market informationcomprising a last traded quantity corresponding to a last trade and datadefining whether the last trade occurred on a bid side or an ask side;and determining, by a computer device, a current running total volume byadding or subtracting the last traded quantity from a preceding runningtotal volume, based on whether the last trade occurred on the bid sideor on the ask side.
 2. The method of claim 1, wherein the precedingrunning total volume comprises a user-configured value.
 3. The method ofclaim 1, wherein determining the current running total volume comprises:adding the last traded quantity to the preceding running total volume ifthe last trade occurred on the ask side; and subtracting the last tradedquantity from the preceding running total volume if the last tradeoccurred on the bid side.
 4. The method of claim 1, wherein the lasttrade is determined to be on the bid side or the ask side based on acomparison of a last traded price corresponding to the last trade to aninside market price.
 5. The method of claim 1, wherein the data definingwhether the last trade occurred on the bid side or the ask side isreceived from the electronic exchange.
 6. The method of claim 1, furthercomprising: displaying a value axis comprising a plurality of values;displaying a time axis comprising a plurality of times, wherein the timeaxis is orthogonal to the value axis; and displaying an indicatorrepresenting the current running total volume for the tradeable object,wherein the indicator is displayed in relation to the value axis and thetime axis.
 7. The method of claim 6, wherein the indicator is displayedon a chart that displays the current running total volume over time. 8.The method of claim 6, wherein a historical current running total volumeindicator is displayed in relation to the value axis and the time axis.9. The method of claim 6, further comprising: displaying market datarelated to the tradeable object based on market information beingreceived from an electronic exchange.
 10. The method of claim 9, whereinthe market data comprises price related data.
 11. The method of claim 1,further comprising: providing the current running total volume as aninput to another application program.
 12. The method of claim 1, furthercomprising: displaying the current running total volume.
 13. A computerreadable medium having stored therein instructions executable by aprocessor, wherein the instructions are executable to: receive marketinformation associated with the tradeable object, the market informationcomprising a last traded quantity corresponding to a last trade and datadefining whether the last trade occurred on a bid side or an ask side;and determine a current running total volume value by adding orsubtracting the last traded quantity from a preceding running totalvolume, based on whether the last trade occurred on the bid side or onthe ask side.
 14. The computer readable medium of claim 13, wherein thepreceding running total volume comprises a user-configured value. 15.The computer readable medium of claim 13, wherein instructionsexecutable to determine the current running total volume includeinstructions executable to: add the last traded quantity to thepreceding running total volume if the last trade occurred on the askside; and subtract the last traded quantity from the preceding runningtotal volume if the last trade occurred on the bid side.
 16. Thecomputer readable medium of claim 13, wherein the last trade isdetermined to be on the bid side or the ask side based on a comparisonof a last traded price corresponding to the last trade to an insidemarket price.
 17. The computer readable medium of claim 13, wherein thedata defining whether the last trade occurred on the bid side or the askside is received from the electronic exchange.
 18. The computer readablemedium of claim 13, wherein the instructions are further executable to:display a value axis comprising a plurality of values; display a timeaxis comprising a plurality of times, wherein the time axis isorthogonal to the value axis; and display an indicator representing thecurrent running total volume for the tradeable object, wherein theindicator is displayed in relation to the value axis and the time axis.19. The computer readable medium of 18, wherein the indicator isdisplayed on a chart that displays the current running total volume overtime.
 20. The computer readable medium of claim 18, wherein a historicalcurrent running total volume indicator is displayed in relation to thevalue axis and the time axis.
 21. The computer readable medium of claim18, wherein the instructions are further executable to: display marketdata related to the tradeable object based on market information beingreceived from an electronic exchange.
 22. The computer readable mediumof claim 21, wherein the market data comprises price related data. 23.The computer readable medium of claim 13, wherein the instructions arefurther executable to: provide the current running total volume as aninput to another application program.
 24. The computer readable mediumof claim 13, wherein the instructions are further executable to: displaythe current running total volume.